| Silk vs Bryan | 20–28 | 41.67% |
| Silk vs Kazuya | 24–24 | 50.00% |
| Silk vs Reina | 23–18 | 56.10% |
| Silk vs Fahkumram | 23–17 | 57.50% |
| Silk vs Hwoarang | 19–15 | 55.88% |
| Silk vs King | 19–14 | 57.58% |
| Silk vs Law | 14–18 | 43.75% |
| Silk vs Jin | 21–11 | 65.62% |
| Silk vs Lars | 20–10 | 66.67% |
| Silk vs Heihachi | 15–12 | 55.56% |
| Silk vs Steve | 19–5 | 79.17% |
| Silk vs Lili | 7–16 | 30.43% |
| Silk vs Lidia | 9–14 | 39.13% |
| Silk vs Armor King | 13–9 | 59.09% |
| Silk vs Asuka | 14–7 | 66.67% |
| Silk vs Jun | 5–16 | 23.81% |
| Silk vs Paul | 10–10 | 50.00% |
| Silk vs Nina | 13–6 | 68.42% |
| Silk vs Azucena | 8–11 | 42.11% |
| Silk vs Lee | 9–9 | 50.00% |
| Silk vs Yoshimitsu | 3–13 | 18.75% |
| Silk vs Feng | 6–7 | 46.15% |
| Silk vs Dragunov | 8–5 | 61.54% |
| Silk vs Clive | 7–5 | 58.33% |
| Silk vs Miary Zo | 4–8 | 33.33% |
| Silk vs Jack-8 | 6–5 | 54.55% |
| Silk vs Devil Jin | 6–5 | 54.55% |
| Silk vs Claudio | 9–2 | 81.82% |
| Silk vs Xiaoyu | 6–4 | 60.00% |
| Silk vs Raven | 6–4 | 60.00% |
| Silk vs Anna | 6–4 | 60.00% |
| Silk vs Victor | 6–3 | 66.67% |
| Silk vs Eddy | 5–3 | 62.50% |
| Silk vs Alisa | 3–4 | 42.86% |
| Silk vs Zafina | 3–4 | 42.86% |
| Silk vs Kuma | 3–2 | 60.00% |
| Silk vs Leo | 2–2 | 50.00% |
| Silk vs Shaheen | 0–4 | 0.00% |
| Silk vs Panda | 0–4 | 0.00% |
| Silk vs Leroy | 3–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.